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Reinforcement Learning in Non-Stationary Environments
In this paper, we thus consider the problem of developing RL methods that obtain optimal decisions in a non-stationary environment.
Energy Sharing for Multiple Sensor Nodes with Finite Buffers
We also develop a cross entropy based method that incorporates policy parameterization in order to find near optimal energy sharing policies.
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